Loading...
Automatic sunspots detection on SODISM solar images
Alasta, Amro F. Algamudi, Abdulrazag Qahwaji, Rami S.R. Ipson, Stanley S. Nagem, Tarek A.
Alasta, Amro F.
Algamudi, Abdulrazag
Qahwaji, Rami S.R.
Ipson, Stanley S.
Nagem, Tarek A.
Publication Date
2017
End of Embargo
Supervisor
Rights
© 2018 IEEE. Reproduced in accordance with the publisher's self-archiving policy.
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Peer-Reviewed
No
Open Access status
openAccess
Accepted for publication
Institution
Department
Awarded
Embargo end date
Additional title
Abstract
The surface of the sun often shows visible sunspots
which are located in magnetically active regions of the Sun,
and whose number is an indicator of the Sun’s magnetic
activity. The detection and classification of sunspots are useful
techniques in the monitoring and prediction of solar activity.
The automated detection of sunspots from digital images is
complicated by their irregularities in shape and variable
contrast and intensity compared with their surrounding area.
The main aim of this paper is to detect sunspots using images
from the Solar Diameter Imager and Surface Mapper
(SODISM) on the PICARD satellite and calculate their filling
factors. A comparison over time with sunspot numbers
obtained using images from the SOHO satellite is also
presented.
Version
Accepted manuscript
Citation
Alasta AF, Algamudi A, Qahwaji R, Ipson S and Nagem TA (2017) Automatic sunspots detection on SODISM solar images. 2017 Seventh International Conference on Innovative Computing Technology (INTECH) 16-18th Aug 2017, Luton UK. IEEE.
Link to publisher’s version
Link to published version
Link to Version of Record
Type
Conference paper